Added fill_accum kernel

This commit is contained in:
Alexander Karsakov 2014-08-25 13:55:09 +04:00
parent 5c1f71de51
commit 038bfb98ec
3 changed files with 36 additions and 22 deletions

View File

@ -676,7 +676,7 @@ static bool ocl_HoughLines(InputArray _src, OutputArray _lines, double rho, doub
const int pixelsPerWI = 4;
int group_size = (src.cols + pixelsPerWI - 1)/pixelsPerWI;
ocl::Kernel pointListKernel("make_point_list", ocl::imgproc::hough_lines_oclsrc,
format("-D MAKE_POINT_LIST -D GROUP_SIZE=%d -D LOCAL_SIZE", group_size, src.cols));
format("-D MAKE_POINT_LIST -D GROUP_SIZE=%d -D LOCAL_SIZE=%d", group_size, src.cols));
if (pointListKernel.empty())
return false;
@ -703,13 +703,24 @@ static bool ocl_HoughLines(InputArray _src, OutputArray _lines, double rho, doub
UMat accum(numangle + 2, numrho + 2, CV_32SC1, Scalar::all(0));
fillAccumKernel.args(ocl::KernelArg::ReadOnlyNoSize(pointsList), ocl::KernelArg::WriteOnly(accum),
ocl::KernelArg::Constant(&total_points, sizeof(int)), ocl::KernelArg::Constant(&irho, sizeof(float)),
ocl::KernelArg::Constant(&theta, sizeof(float)), ocl::KernelArg::Constant(&numrho, sizeof(int)));
globalThreads[0] = numangle; globalThreads[1] = group_size;
total_points, irho, (float) theta, numrho, numangle);
globalThreads[0] = group_size; globalThreads[1] = numangle;
if (!fillAccumKernel.run(2, globalThreads, NULL, false))
return false;
printf("GPU: \n");
int sum = 0;
Mat ac = accum.getMat(ACCESS_READ);
for (int i=0; i<8; i++)
{
for (int j=0; j<8; j++)
{
sum += ac.at<int>(i, j);
printf("%d ", ac.at<int>(i, j));
}
printf("\n");
}
printf("sum = %d\n", sum);
return false;
}

View File

@ -13,7 +13,7 @@ __kernel void make_point_list(__global const uchar * src_ptr, int src_step, int
int x = get_local_id(0);
int y = get_group_id(1);
__local int l_index;
__local int l_index, l_offset;
__local int l_points[LOCAL_SIZE];
__global const uchar * src = src_ptr + mad24(y, src_step, src_offset);
__global int * list = (__global int*)(list_ptr + list_offset);
@ -38,13 +38,12 @@ __kernel void make_point_list(__global const uchar * src_ptr, int src_step, int
barrier(CLK_LOCAL_MEM_FENCE);
int offset;
if (x == 0)
offset = atomic_add(global_offset, l_index);
l_offset = atomic_add(global_offset, l_index);
barrier(CLK_LOCAL_MEM_FENCE);
list += offset;
list += l_offset;
for (int i=x; i < l_index; i+=GROUP_SIZE)
{
list[i] = l_points[i];
@ -55,27 +54,31 @@ __kernel void make_point_list(__global const uchar * src_ptr, int src_step, int
__kernel void fill_accum(__global const uchar * list_ptr, int list_step, int list_offset,
__global uchar * accum_ptr, int accum_step, int accum_offset, int accum_rows, int accum_cols,
int count, float irho, float theta, int numrho)
int count, float irho, float theta, int numrho, int numangle)
{
int theta_idx = get_global_id(0);
int count_idx = get_global_id(1);
int theta_idx = get_global_id(1);
int count_idx = get_global_id(0);
int glob_size = get_global_size(0);
float cosVal;
float sinVal = sincos(theta * theta_idx, &cosVal);
float sinVal = sincos(theta * ((float)theta_idx), &cosVal);
sinVal *= irho;
cosVal *= irho;
__global const int * list = (__global const int*)(list_ptr + list_offset);
__global int* accum = (__global int*)(accum_ptr + mad24(theta_idx, accum_step, accum_offset));
__global int* accum = (__global int*)(accum_ptr + mad24(theta_idx + 1, accum_step, accum_offset));
const int shift = (numrho - 1) / 2;
for (int i = count_idx; i < count; i += GROUP_SIZE)
if (theta_idx < numangle)
{
const int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
for (int i = count_idx; i < count; i += glob_size)
{
const int val = list[i];
const int x = (val & 0xFFFF);
const int y = (val >> 16) & 0xFFFF;
int r = round(x * cosVal + y * sinVal) + shift;
atomic_inc(accum + r + 1);
int r = convert_int_rte(x * cosVal + y * sinVal) + shift;
atomic_inc(accum + r + 1);
}
}
}

View File

@ -26,7 +26,7 @@ PARAM_TEST_CASE(HoughLinesTestBase, bool)
virtual void SetUp()
{
rhoStep = 10;
thetaStep = 0.1;
thetaStep = 0.5;
threshold = 80;
useRoi = false;
}
@ -35,7 +35,7 @@ PARAM_TEST_CASE(HoughLinesTestBase, bool)
{
//Mat image = readImage("shared/pic1.png", IMREAD_GRAYSCALE);
Mat image = randomMat(Size(100, 100), CV_8UC1, 0, 255, false);
Mat image = randomMat(Size(20, 10), CV_8UC1, 0, 255, false);
cv::threshold(image, src, 127, 255, THRESH_BINARY);
//Canny(image, src, 100, 150, 3);